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| 001 | 130781 | ||
| 005 | 20240228145552.0 | ||
| 024 | 7 | _ | |a 10.1097/RLI.0000000000000381 |2 doi |
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| 037 | _ | _ | |a DKFZ-2017-05859 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Freedman, Joshua N |b 0 |
| 245 | _ | _ | |a T2-Weighted 4D Magnetic Resonance Imaging for Application in Magnetic Resonance-Guided Radiotherapy Treatment Planning. |
| 260 | _ | _ | |a Philadelphia, Pa. |c 2017 |b Lippincott Williams & Wilkins |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1525780259_18768 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The aim of this study was to develop and verify a method to obtain good temporal resolution T2-weighted 4-dimensional (4D-T2w) magnetic resonance imaging (MRI) by using motion information from T1-weighted 4D (4D-T1w) MRI, to support treatment planning in MR-guided radiotherapy.Ten patients with primary non-small cell lung cancer were scanned at 1.5 T axially with a volumetric T2-weighted turbo spin echo sequence gated to exhalation and a volumetric T1-weighted stack-of-stars spoiled gradient echo sequence with golden angle spacing acquired in free breathing. From the latter, 20 respiratory phases were reconstructed using the recently developed 4D joint MoCo-HDTV algorithm based on the self-gating signal obtained from the k-space center. Motion vector fields describing the respiratory cycle were obtained by deformable image registration between the respiratory phases and projected onto the T2-weighted image volume. The resulting 4D-T2w volumes were verified against the 4D-T1w volumes: an edge-detection method was used to measure the diaphragm positions; the locations of anatomical landmarks delineated by a radiation oncologist were compared and normalized mutual information was calculated to evaluate volumetric image similarity.High-resolution 4D-T2w MRI was obtained. Respiratory motion was preserved on calculated 4D-T2w MRI, with median diaphragm positions being consistent with less than 6.6 mm (2 voxels) for all patients and less than 3.3 mm (1 voxel) for 9 of 10 patients. Geometrical positions were coherent between 4D-T1w and 4D-T2w MRI as Euclidean distances between all corresponding anatomical landmarks agreed to within 7.6 mm (Euclidean distance of 2 voxels) and were below 3.8 mm (Euclidean distance of 1 voxel) for 355 of 470 pairs of anatomical landmarks. Volumetric image similarity was commensurate between 4D-T1w and 4D-T2w MRI, as mean percentage differences in normalized mutual information (calculated over all respiratory phases and patients), between corresponding respiratory phases of 4D-T1w and 4D-T2w MRI and the tie-phase of 4D-T1w and 3-dimensional T2w MRI, were consistent to 0.41% ± 0.37%. Four-dimensional T2w MRI displayed tumor extent, structure, and position more clearly than corresponding 4D-T1w MRI, especially when mobile tumor sites were adjacent to organs at risk.A methodology to obtain 4D-T2w MRI that retrospectively applies the motion information from 4D-T1w MRI to 3-dimensional T2w MRI was developed and verified. Four-dimensional T2w MRI can assist clinicians in delineating mobile lesions that are difficult to define on 4D-T1w MRI, because of poor tumor-tissue contrast. |
| 536 | _ | _ | |a 315 - Imaging and radiooncology (POF3-315) |0 G:(DE-HGF)POF3-315 |c POF3-315 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 700 | 1 | _ | |a Collins, David J |b 1 |
| 700 | 1 | _ | |a Bainbridge, Hannah |b 2 |
| 700 | 1 | _ | |a Rank, Christopher |0 P:(DE-He78)65dc5d2a03aac87b199cba2986986d05 |b 3 |u dkfz |
| 700 | 1 | _ | |a Nill, Simeon |b 4 |
| 700 | 1 | _ | |a Kachelrieß, Marc |0 P:(DE-He78)f288a8f92f092ddb41d52b1aeb915323 |b 5 |u dkfz |
| 700 | 1 | _ | |a Oelfke, Uwe |b 6 |
| 700 | 1 | _ | |a Leach, Martin O |b 7 |
| 700 | 1 | _ | |a Wetscherek, Andreas |b 8 |
| 773 | _ | _ | |a 10.1097/RLI.0000000000000381 |g Vol. 52, no. 10, p. 563 - 573 |0 PERI:(DE-600)2041543-6 |n 10 |p 563 - 573 |t Investigative radiology |v 52 |y 2017 |x 0020-9996 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:130781 |p VDB |
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